{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ee\n",
    "ee.Initialize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from geetools import tools, ui, batch, algorithms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipygee import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "67a8e27be25c4eef96afca254f59a720",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(basemap={'url': 'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', 'attribution': 'Map data (c) <a href…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ebf6980460654cc7a7c14f68f190a5ce",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Tab(children=(CustomInspector(children=(SelectMultiple(options=OrderedDict(), value=()), Accordion(selected_in…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Map = Map()\n",
    "Map.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = ee.Geometry.Point([-72, -42])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.centerObject(p, zoom=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "l8 = ee.ImageCollection('LANDSAT/LC08/C01/T1_TOA').filterBounds(p).filterMetadata('CLOUD_COVER', 'less_than', 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "l8i = ee.Image(l8.first())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "rgb = ['B4', 'B3', 'B2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "nsr = ['B5', 'B6', 'B4']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "visrgb = {'bands': rgb, 'min':0, 'max':0.3}\n",
    "visnsr = {'bands': nsr, 'min':0, 'max':0.5}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.addLayer(l8i, visrgb, 'original RGB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.addLayer(l8i, visnsr, 'original NSR')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "pansharpening hsv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "pan_hsv_rgb = algorithms.pansharpenIhsFusion(l8i, 'B8', rgb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.addLayer(pan_hsv_rgb, {'bands':['red', 'green', 'blue'], 'min':0, 'max':0.2}, 'HSV pansharpen RGB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "pan_hsv_nsr = algorithms.pansharpenIhsFusion(l8i, 'B8', nsr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.addLayer(pan_hsv_nsr, {'bands':['red', 'green', 'blue'], 'min':0, 'max':0.2}, 'HSV pansharpen NSR')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "pansharpening kernel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "pan_kernel_rgb = algorithms.pansharpenKernel(l8i, 'B8', rgb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.addLayer(pan_kernel_rgb, {'bands':rgb, 'min':0, 'max':0.3}, 'kernel pansharpen RGB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "pan_kernel_nsr = algorithms.pansharpenKernel(l8i, 'B8', nsr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.addLayer(pan_kernel_nsr, {'bands':nsr, 'min':0, 'max':0.5}, 'kernel pansharpen NSR')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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